TSB overestimation #4348
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Hi all, For that I uploaded a bit of data to play around a bit, 98% bike rides, 2% running, no swimming at the time. Bike and running always with power but 70% of the runs without GPS cause of treadmill use. TSB is GC is much higher, most times double as high as in WKO or more. Thought it maybe has something to do with the zones setup so I checked every single workout for the time I uploaded and the TSS in GC is mostly lower. ATL and CTL are not so far away from each other, will post some examples, would be great if anyone can point a newbie into the right direction, any help is appreciated GC same day, Tri PMC You can see today in the WKO pic, TSB is -17, ATL 71 CTL 64, here are the GC pics (PMC with Coggan metrics is again almost identical) |
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Replies: 3 comments 3 replies
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CTL, and then TSB, takes a long time to stabilize, importing “a bit of data” is likely not enough for a valid comparison, CTL will be underestimated then TSB overestimated. |
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The calculations are trivial and have been reviewed many times in the last 10 years.
I would suggest your starting point would be to compare the BikeStress values to TSS in WKO and work from there. |
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Last question fpr this, is Skiba PMC including running data (thought not), or maybe it is reading running data if power is included? I have identical values when I use Skibas PMS and TriScore, just to make sure. And, can I edit the TSB visual to different colors? Got it that way now as I think most of us, color I like, I like bars... Would love to see maybe 0 to -15 TSB in green, -16 to -30 in orange and so on Thanks |
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The calculations are trivial and have been reviewed many times in the last 10 years.
If you are seeing differences between a PMC based upon BikeStress in WKO vs GoldeCheetah then either:
I would suggest your starting point would be to compare the BikeStress values to TSS in WKO and work from there.